Ergebnisse von Formularen in einem Cloud-Ausdruck speichern
In Version 11 können effiziente Operationen zum Speichern und Aktualisieren von Daten in Cloud-Ausdrücken durchgeführt werden.
Erstellen Sie einen Cloud-Ausdruck.
In[1]:=
ce = CreateCloudExpression[<|"languageCounts" -> <||>,
"userRequestDates" -> <||>|>, "form/languageIdentify"]
Out[1]=
Erstellen Sie ein Formular, das LanguageIdentify auf den Input des Users anwendet und Metadaten im Cloud-Ausdruck speichert.
In[2]:=
form = FormFunction[{"sentence" -> <|"Label" -> None,
"Hint" -> "Please enter the sentence."|>},
Block[{ce = CloudExpression["form/languageIdentify"], language,
requesterID},
requesterID = Replace[$RequesterWolframID, None -> "Anonymous"];
language = LanguageIdentify[#sentence];
AppendTo[ce["userRequestDates", requesterID], Now];
ce["languageCounts", CommonName[language]]++;
language
] &,
AppearanceRules -> <|"Title" -> "Language identifier"|>
]
In[3]:=
\!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJztXQd4VVXWTaMTmhTpVUQUVJBmAVH5EcaxIUUsY0OHUdGx13HsSi+BECCE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"], {{0, 300}, {300, 0}}, {0,
255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSizeRaw->{300, 300},
PlotRange->{{0, 300}, {0, 300}}]\)
Senden Sie Daten an das Formular.
In[4]:=
Map[form[<|"sentence" -> #|>] & , {"Hace mucho tiempo!",
"Je voudrais un croissant", "Je suis enchanté",
"Where is the library?", "شهية طيبة", "ボナペティ",
"I'd like a croissant please", "Enjoy."}]
Out[4]=
Rufen Sie Daten aus der CloudExpression ab und plotten Sie ein Histogramm, das darstellt, wie oft jede Sprache vorkommt.
In[5]:=
BarChart[SortBy[KeyValueMap[Labeled[#2, #1] &, ce["languageCounts"]],
Last]]
Out[5]=